Research & Knowledge Resources

GATC Health Corp’s AI-driven MAT platform leverages integrated multi-omics data, predictive modeling, and in silico simulations to streamline target identification and preclinical safety assessments, reducing what traditionally costs $50–$100 million and takes years to just weeks while cutting animal testing by up to 90%. By mining failed clinical programs for mechanistic insights and building digital patient models, MAT enables smarter asset repurposing and more precise patient stratification. As regulators adopt AI and NAMs, this approach promises to shrink the average IND-filing timeline from over a decade to under two years, accelerating cost-effective precision medicine development

This review highlights the potential of mesenchymal and neural stem cells for treating neurodegenerative brain disorders by promoting repair, reducing inflammation, and replacing lost neurons. While early results are promising, challenges remain with cell delivery, variability, and standardization. Further research is needed to safely and effectively translate these therapies to the clinic.

This review highlights the potential of peptide therapies to treat Autism Spectrum Disorder (ASD) by targeting core issues like neuroinflammation, mitochondrial dysfunction, and synaptic imbalance. Peptides such as oxytocin and mitochondria-derived peptides show promise in improving social behavior, reducing inflammation, and restoring cellular function in ASD.

GATC Health is revolutionizing drug development with AI-driven, multiomic technology that reduces costs, shortens timelines, and minimizes animal testing. By simulating human biology and predicting outcomes with high accuracy, their platform accelerates discovery, enhances precision medicine, and promotes a capital-efficient, ethical future for pharmaceutical innovation.

This paper presents a comprehensive review of stem cell therapy in regenerative medicine, comparing allogeneic (donor-derived) and autologous (patient-derived) approaches. It examines induced pluripotent stem cells (iPSCs), which can differentiate into any cell type but carry tumorigenicity risks, and mesenchymal stem cells (MSCs), which have more limited differentiation potential but offer immunomodulatory benefits. The authors analyze the therapeutic applications for conditions like diabetes, neurodegenerative diseases, and cardiovascular disorders, along with the benefits and risks of differentiated versus undifferentiated cells. The review highlights challenges including immune rejection, tumor formation, and improper tissue integration, while discussing future advancements in gene editing and encapsulation technologies to enhance treatment safety and efficacy.

This mini-review explores the potential role of short peptides, specifically Nano-organo Peptides (NOP) and Mito-organo Peptides (MOP), in enhancing longevity and mitigating age-related decline. These peptides influence key physiological functions, including mitochondrial function, proteostasis, cellular senescence, immunogenicity, and metabolic regulation. Emerging research suggests their application in regenerative medicine and aging therapeutics.

This comprehensive review explores the integration of multiple omics approaches (genomics, transcriptomics, proteomics, metabolomics) in drug discovery, discussing key experimental design considerations, challenges in data integration, and emerging computational solutions for analyzing complex molecular datasets to enhance drug development efficiency.

GATC demonstrates alignment with FDA as it considers the use of artificial intelligence to support regulatory decision-making for drug and biological products.

This review examines the potential of autologous bone marrow-derived mononuclear cell transplantation for treating diabetes, exploring its safety and efficacy compared to traditional treatments. The paper analyzes clinical data on using differentiated stem cells for both Type 1 and Type 2 diabetes patients.

The paper explores innovative AI-based approaches to PTSD treatment using GATC Health's Multiomics Advanced Technology (MAT) platform. The research combines genomics, machine learning, and deep learning to identify biomarkers and develop targeted therapeutics, offering a breakthrough in personalized PTSD treatment and prevention strategies for affected populations, particularly military veterans.

The paper examines how machine learning and AI technologies are transforming preclinical drug discovery, highlighting GATC Health's phenotypic drug discovery pipeline that combines deep learning with systems biology approaches to improve drug development efficiency.

The paper evaluates GATC Health's AI platform performance in predicting molecular target activity through blind chemical structure challenges. Using University of California Irvine's validation study, the platform achieved 91% specificity and 86% sensitivity in screening chemical compounds against biological targets.

Research demonstrates how GATC Health's AI platform identified GATC-021, a novel therapeutic compound that successfully reduced fentanyl intake in preclinical studies. The compound, targeting serotonin receptors, showed effectiveness in both male and female subjects without adverse effects, presenting a promising new approach for treating opioid use disorder.

The research examines how machine learning and AI can enable early prediction of Type 2 Diabetes before clinical symptoms appear. The study explores current challenges in biomarker identification and proposes novel multi-omics approaches combined with AI to enable more accurate disease prognostication.

The paper discusses how AI technology is revolutionizing precision medicine through polypharmacology approaches, showcasing GATC Health's AI platform for developing multi-target drug combinations with improved safety and efficacy for complex conditions.

The paper explores exosomes as a novel therapeutic approach for Type 1 Diabetes, examining their regenerative capacity, cell communication role, and potential as biomarkers and drug delivery vehicles. The research focuses on exosomes' functional capabilities in immune regulation and β-cell preservation.